Gradual shot boundary detection using localized edge blocks

Hun Woo Yoo, Han Jin Ryoo, Dong Sik Jang

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)


A new algorithm for gradual shot boundary detection is proposed in this paper. The proposed algorithm is based on the fact that most of gradual curves can be characterized by variance distribution of edge information in the frame sequences. Average edge frame sequence is obtained by performing Sobel edge detection. Features are extracted by comparing variance with those of local blocks in the average edge frames. Those features are further processed by the opening operation to obtain smoothing variance curves. The lowest variance in the local frame sequence is chosen as a gradual detection point. Experimental results show that the proposed method provides 87.0% precision and 86.3% recall rates for six selected videos.

Original languageEnglish
Pages (from-to)283-300
Number of pages18
JournalMultimedia Tools and Applications
Issue number3
Publication statusPublished - 2006 Mar

Bibliographical note

Funding Information:
Acknowledgments This work was supported by Korea Research Foundation Grant (KRF-2002– 005-H 20002). Comments and suggestions from the reviewers were greatly appreciated.


  • AGI (Average Gradient Image)
  • Gradual shot detection
  • Local blocks
  • Opening
  • Parabolic curve
  • Variance

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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